MAC Protocols for Wake-up Radio: Principles, Modeling and Performance Analysis

[EN] In wake-up radio (WuR) enabled wireless sensor networks (WSNs), a node triggers a data communication at any time instant by sending a wake-up call (WuC) in an on-demand manner. Such wake-up operations eliminate idle listening and overhearing burden for energy consumption in duty-cycled WSNs. Al...

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Detalhes bibliográficos
Autores: Ghose, Debasish, Li, Frank, Pla, Vicent|||0000-0002-0894-9494
Formato: artículo
Fecha de publicación:2018
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/121352
Acesso em linha:https://riunet.upv.es/handle/10251/121352
Access Level:acceso abierto
Palavra-chave:Energy-efficient communication
Internet of Things (IoT)
Medium access control (MAC) protocol
Modeling and performance evaluation
Wake-up radio (WuR)
Wireless sensor networks (WSNs)
INGENIERIA TELEMATICA
Descrição
Resumo:[EN] In wake-up radio (WuR) enabled wireless sensor networks (WSNs), a node triggers a data communication at any time instant by sending a wake-up call (WuC) in an on-demand manner. Such wake-up operations eliminate idle listening and overhearing burden for energy consumption in duty-cycled WSNs. Although WuR exhibits its superiority for light traffic, it is inefficient to handle high traffic load in a network. This paper makes an effort towards improving the performance of WuR under diverse load conditions with a twofold contribution. We first propose three protocols that support variable traffic loads by enabling respectively clear channel assessment (CCA), backoff plus CCA, and adaptive WuC transmissions. These protocols provide various options for achieving reliable data transmission, low latency, and energy efficiency for ultralow power consumption applications. Then, we develop an analytical framework based on an M/G/1/2 queue to evaluate the performance of these WuR protocols. Discrete-event simulations validate the accuracy of the analytical models.